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試圖用一塊石頭殺死兩隻鳥我決定寫一點代碼,讓我可以同時練習python和微積分。我有兩個獨立的文件,Derivative.py和newton_method.py(我知道我應該更好地正確命名我的文件)。從Derivatibe.py的文本如下導入函數時出現全局名稱錯誤
def fx(value, function):
x = value
return eval(function)
def function_input(input):
function = str(input)
return function
def derivative_formula(x, h):
return (fx(x - h, input_function) - fx(x + h, input_function))/(2.0 * h)
def derivative_of_x(x):
error = 0.0001
h = 0.1
V = derivative_formula(x, h)
print V
h = h/2.0
derivative_estimate = derivative_formula(x, h)
while abs(derivative_estimate - V) < error:
V = derivative_formula(x, h)
h = h/2.0
derivative_estimate = derivative_formula(x, h)
print derivative_estimate
return derivative_estimate
而且從newton_method.py文字是:
from Derivative import *
input_function = function_input(raw_input('enter a function with correct python syntax'))
E = 1 * (10 ** -10)
guessx = float(raw_input('Enter an estimate'))
def newton_method(guessx, E, function):
x1 = guessx
x2 = x1 - (fx(x1, input_function)/derivative_of_x(x1))
while x2 - x1 < E:
x1 = x2
x2 = x1 - (fx(x1, input_function)/derivative_of_x(x1))
return x2
print "The root of that function is %f" % newton_method(guessx, E, input_function)
錯誤:
Traceback (most recent call last):
File "newton_method.py", line 17, in <module>
print "The root of that function is %f" % newton_method(guessx, E, input_function)
File "newton_method.py", line 11, in newton_method
x2 = x1 - (fx(x1, input_function)/derivative_of_x(x1))
File "C:\Users\159micarn\Desktop\Python\Derivative.py", line 15, in derivative_of_x
V = derivative_formula(x, h)
File "C:\Users\159micarn\Desktop\Python\Derivative.py", line 10, in derivative_formula
return (fx(x - h, input_function) - fx(x + h, input_function))/(2.0 * h)
NameError: global name 'input_function' is not defined
我需要在衍生聲明函數input_function的.py?我原以爲在newton_method.py中聲明它就足夠了。